realtime simulation plotting

[GREENRAT-K405]

• I have replaced the previous blocking behavior where plots were only generated at the very end of a simulation cycle with real-time, live-updating visualizations across the simulation

My motive behind this big change was:

• In real-world applications (such as simulating a pacemaker system or observing prolonged physiological responses), waiting for an entire 1000+ cycle simulation to finish before seeing the results is impractical. Users and researchers need to visually monitor system stability, inputs (u), and outputs (ym) dynamically as the simulation runs.
• Furthermore, as we prepare for simulations with heavier computational workloads and longer runtimes (e.g., upcoming Julia implementations), having live feedback is critical for monitoring system behavior without waiting for complete execution.

@pradeeban I have done the implementation as we discussed yesterday, while doing that I have discovered that some of the ratc study simulation weren't running properly because of python version (the older version of python were a little linent in terms of math bugs, but newer python is a little stricter, this is causing some kind of value error when debugging some of the graphs especially the yuyu-series graphs.

I believe that we should avoid touching actual code for the simulation as of right now as it contains our legacy studies and doing even a small mistake in fixing the actual simulation can worsen the problem.

In this PR I have just changed the logic of how matplotlib is plotting graph.

This fixes #445 .